Yam Eitan
3 papers · 2024–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
graph neural network
(2)
message passing
(1)
perturbation analysis
(1)
equivariant learning
(1)
graph coarsening
(1)
topological deep learning
(1)
structural encoding
(1)
subgraph extraction
(1)
permutation symmetry
(1)
higher-order message passing
(1)
multi-cellular network
(1)
bag size
(1)
subgraph gnns
(1)
computational complexity
(1)
walk-based centrality
(1)
Papers
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
ICML 2025
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
ICLR 2025
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
NeurIPS 2024